Junior Data Scientist at Pezesha

Pezesha, has created a holistic financial marketplace for MSMEs. By offering lending, financial education, and debt counselling to borrowers, plus a proprietary credit scoring system to vet MSMEs without a credit history, derisking lending to SMEs. Lower Risks bring commercial banks and capital providers onto Pezesha platform. As a collaborative structure, Pezesha is helping to tackle the $19 Billion financing gap for SMEs. Pezesha is led by a highly experienced and passionate local team with more than 10 years local and international experience in fin-tech, management of growth and technology companies, and unparalleled local market knowledge and reach.

Job Overview

We are looking for a Data Scientist who will support our products and leadership teams with insights gained from analysing company and portfolio data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimisation and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in data and working with stakeholders to improve business outcomes.

Responsibilities

  • Identify data gaps, recommend and implement solutions to address these gaps
  • Provide data insights to products team that will help in scaling and product optimisation
  • Monitor and report experiment results/impact analysis
  • Develop state of the art solutions to present data insights to management team on-demand
  • Analyse scoring data and repayment data to identify complex patterns that could inform default and non-default customer behaviour
  • Develop credit scoring models
  • Validation of credit scoring models
  • Deploy scoring models using REST APIs
  • Documentation of deployed code

Knowledge and skills

  • BSc degree in Computer Science/Computer Engineering. Masters is a plus.
  • 3+ years of relevant experience in the data science field.
  • Knowledge and experience in machine learning algorithms(K-Means, Logistic regression are a must)
  • Strong Python, especially in a data analytics/science capacity (ex. pandas, numPy, sklearn, matplotlib, seaborn)
  • Excellent with SQL database operations
  • Experience with experimental design, statistical analysis, and interpretation of qualitative and quantitative data.
  • Good knowledge of statistical tests and analysis
  • Ability to communicate model outputs and analyses to stakeholders at various levels of technical expertise
  • Experience deploying predictive models at scale
  • Keen eye for detail and thoughtful investigation of data before relying upon it
  • Thrives on teamwork
  • Experience in cloud technologies GCP and AWS
  • Knowledge in parallel processing technologies i.e Spark, Dask
  • Bonus: Experience working with financial data or credit scoring models

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